1246 search results - page 9 / 250 » Activity Modeling Using Event Probability Sequences |
IJCAI
2001
13 years 9 months ago
2001
For many supervised learning tasks it is very costly to produce training data with class labels. Active learning acquires data incrementally, at each stage using the model learned...
JCSS
2007
13 years 7 months ago
2007
Hidden Markov models (HMMs) are often used for biological sequence annotation. Each sequence feature is represented by a collection of states with the same label. In annotating a ...
CVPR
2003
IEEE
14 years 9 months ago
2003
IEEE
Video-based recognition and prediction of a temporally extended activity can benefit from a detailed description of high-level expectations about the activity. Stochastic grammars...
NIPS
2001
13 years 9 months ago
2001
Statistical learning and probabilistic inference techniques are used to infer the hand position of a subject from multi-electrode recordings of neural activity in motor cortex. Fi...
CBMS
2007
IEEE
14 years 2 months ago
2007
IEEE
We describe a 3D+T active surface model for segmentation and tracking of the left ventricular endocardium within 3D MRI sequences of the cardiac cycle. In order to perform segment...